Additionally, there has been research addressing problems with discrete variables, such as multiobjective linear integer programming (MOILP) problems. The first work to solve a linear function over ...

Linear Programming: Basics, Simplex Algorithm, and Duality. Applications of Linear Programming: regression, classification and other engineering applications. Integer Linear Programming: Basics, ...

Many important practical computations, such as scheduling, combinatorial, and optimization problems, use techniques known as integer programming to find the best combination of many variables. In ...

The paper titled "A Customized Augmented Lagrangian Method for Block-Structured Integer Programming" investigates the problem of Block-Structured Integer Programming (BSIP) and proposes a customized ...

This project involves solving integer linear programming problems using Gomory's cutting plane algorithm. For more detailed information, refer to the Cutting-plane method on Wikipedia.

We assume that the k -linear factors of the upper level problem and the l -linear factors of the lower level problem to be non-negative. In this paper, we propose an algorithm based on branch-and-cut ...

Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it.

A mixed integer linear programming model for a minimum backbone grid is proposed in this paper, which considers the practical application requirements. More importantly, the model can ensure network ...

This paper deals with the aircraft landing problem, which consists of determining a landing time for each aircraft within the radar range of an airport and allocating it to a runway. We propose an ...